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About

Ching‐Kuo Wang is a pioneering robotics researcher whose work spans humanoid robotics, intelligent power management, and industrial automation. His research focuses on three interconnected domains: developing lifelike humanoid robots with expressive capabilities, creating advanced energy systems for autonomous robots, and implementing industrial automation solutions. Wang’s most significant contributions include the development of a PC-based graphic-user interface for security robot power management (11 citations) and the innovative TUSM neural network for prosthetic eyes on humanoid robots (8 citations), which demonstrated how facial emotions—particularly eye expressions—can dramatically spiritualize robots and make them more acceptable to humans. His work on hybrid recharging systems with super-capacitors (5 citations) addressed critical energy efficiency challenges in mobile robotics, while his intelligent battery management systems with parallel-connected cell-balance algorithms tackled the persistent issue of discharge instability in lithium cell structures. Wang also contributed to ultrasonic motor drivers for facial mechanisms and modular designs for industrial X-ray machines in the context of Industry 4.0. His research consistently bridges theoretical innovation with practical implementation, advancing both the emotional expressiveness and operational autonomy of robotic systems.